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• W2949906767 abstract "Research in Graph Signal Processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing. We then summarize recent developments in developing basic GSP tools, including methods for sampling, filtering or graph learning. Next, we review progress in several application areas using GSP, including processing and analysis of sensor network data, biological data, and applications to image processing and machine learning. We finish by providing a brief historical perspective to highlight how concepts recently developed in GSP build on top of prior research in other areas." @default.
• W2949906767 created "2019-06-27" @default.
• W2949906767 creator A5000947076 @default.
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• W2949906767 creator A5045861415 @default.
• W2949906767 creator A5067967683 @default.
• W2949906767 date "2017-12-01" @default.
• W2949906767 modified "2023-10-06" @default.
• W2949906767 title "Graph Signal Processing: Overview, Challenges and Applications" @default.
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